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# Python Django Engineer - Medtech H/F

- **Company:** MOBISKILL
- **Location:** Paris, France (Remote available)
- **Experience:** Expert
- **Salary:** €60,000.0 - €90,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Engineering, Data Visualization, Distributed Systems, Django Web Framework, Software Architecture, Web Applications, Cloud Platform System, System Availability, Backend, Meditech, Data Pipelines
- **Published:** September 1, 2026
- **Apply:** https://www.hellowork.com/fr-fr/emplois/79121733.html

## About the Role

Experience: ~8 years. As an experienced Senior Developer, you have a proven track record dealing with scaling challenges, distributed architectures, and processing high volumes of data.
Education: Engineering degree (or university equivalent) required for the Backend scope.
Languages: Fluent English is mandatory (international and multicultural work environment).
AI Awareness: You smartly integrate generative AI tools into your daily workflow to optimize your code and productivity.

## Description

Parisian startup revolutionizing the medical sector by combining advanced robotics, high-definition imaging, and artificial intelligence.Currently in the pre-commercial launch phase, this human-scale organization is expanding its R&D team to support the large-scale deployment of its solution to healthcare professionals.
Job Context: The current challenge is to restructure, optimize, and prepare the entire software architecture for large-scale scaling.
Responsibilities:

 - Design, develop, and scale the main web application used daily by practitioners.
 - Implement new, complex user-oriented features.
 - Optimize internal tools for data visualization and high-resolution imaging.
 - Develop and secure APIs to ensure seamless communication between Cloud infrastructures and the fleet of connected physical devices.
 - Ensure high availability, security, and resilience of the Cloud architecture.
 - Participate in the design of data processing pipelines, from ingestion to analysis.


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